I have created some cool data visualizations and schematic model descriptions I created for my past and present projects, mostly using Python and matplotlib. I store them here for future references.
Figure 1. Segregated Spreading
Studying the infection, applying NLP and using a game-theoretical model on top of a spreading process occurring on a stochstic block model network to predict the racial disparity of infection observed in Chicago.
We won the \(2^{nd}\) project award for this research in the Exploring Network Epidemiology in the Time of Coronavirus, online workshops held by University of Maryland and Vermont’s Complex Systems Center among 29 groups. Project title: Racial disparities in COVID-19 cases: Beyond inherent vulnerability.
Figure 2. karate-club
Main repository: (https://github.com/Sepante/balance-het-network)
(1)
Figure 3. Segregated Spreading
Generated by my software EPYC, Used in (2).
By using different shuffling methods and categorizing the results using k-means clustering we studied each correlation’s effect on hindering/enhancing the spreading phenomena. We observed that causal temporal correlations reduce the size of an outbreak, on the other hand, periodical correlations which can either decrease or increase the probability of an outbreak, have no significant effect on the size of a possible outbreak.
Hey Hey Hey
In this work we define a novel type of social distancing (keeping distance from other agents to avoid infection) based on the pedestrian dynamics. We consider both direct and indirect transmission by taking into account the role of environment as a vehicle of spreading.
Figure 4. Schelling Model
Presented at Schelling Algorithm Implementation and Visualization workshop.
Main repository: (https://github.com/Sepante/Schelling)
1. Wikipedia contributors. Zachary’s karate club — Wikipedia, The Free Encyclopedia. https://en.wikipedia.org/w/index.php?title=Zachary%27s_karate_club&oldid=967105030; 2020.
2. Sajjadi S, Ejtehadi MR, Ghanbarnejad F. Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics. arXiv:2003.01268 [physics, q-bio] [Internet]. März 2020; Verfgbar unter: http://arxiv.org/abs/2003.01268